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Investigating the interlinkages between infrastructure development, poverty and rural–urban income inequality

Author

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  • Varun Chotia
  • N.V.M. Rao

Abstract

Purpose - The purpose of this paper is to investigate the relationship between infrastructure development, rural–urban income inequality and poverty for BRICS economies. Design/methodology/approach - Pedroni’s panel co-integration test and panel dynamic ordinary least squares (PDOLS) have been used to carry out the analysis. Findings - The empirical findings confirm a long-run relationship among infrastructure development, poverty and rural–urban inequality. The PDOLS results suggest that both infrastructure development and economic growth lead to poverty reduction in BRICS. However, rural–urban income inequality aggravates poverty in these nations. The paper advocates for adopting policies aimed at strengthening infrastructure and achieving economic growth to reduce the current levels of poverty prevailing in the BRICS nations. Originality/value - Significant limitations exist in the literature in terms of not clearly defining the nature of relationship and interlinkages between infrastructure development, poverty and inequality, with regard to the BRICS nations. The available studies mainly focus on the relationship between infrastructure and growth, with the universal agreement being that these two are positively related. However, it is still not right to assume that economic growth attributable to infrastructure development will, therefore, subsequently lead to a reduction in inequality. This forms the basis for this study, that is, to critically examine the relationship between infrastructure development, inequality and poverty for BRICS nations.

Suggested Citation

  • Varun Chotia & N.V.M. Rao, 2017. "Investigating the interlinkages between infrastructure development, poverty and rural–urban income inequality," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 34(4), pages 466-484, October.
  • Handle: RePEc:eme:sefpps:sef-07-2016-0159
    DOI: 10.1108/SEF-07-2016-0159
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    Citations

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    Cited by:

    1. Ping Zhang & Weiwei Li & Kaixu Zhao & Sidong Zhao, 2021. "Spatial Pattern and Driving Mechanism of Urban–Rural Income Gap in Gansu Province of China," Land, MDPI, vol. 10(10), pages 1-29, September.

    More about this item

    Keywords

    Infrastructure development; Poverty reduction; Rural–urban income inequality; Panel co-integration; Panel dynamic OLS (PDOLS); Panel granger causality; C22; H54; I32; O11;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • H54 - Public Economics - - National Government Expenditures and Related Policies - - - Infrastructures
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development

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